Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R

© Taweh Beysolow II 2017

Taweh Beysolow II, Introduction to Deep Learning Using R, https://doi.org/10.1007/978-1-4842-2734-3_5

5. Convolutional Neural Networks (CNNs)

Taweh Beysolow II¹ 

(1)San Francisco, California, USA

Similar to the concepts covered in Chapter 4 with respect to the multi-layer perceptron problem, convolutional neural networks (CNNs) also feature multiple layers used to calculate the output given a data set. This model’s development can be traced back to the 1950s, where researchers Hubel and Wiesel modeled the animal visual cortex. At length in a 1968 paper, they discussed their findings, which identified both simple cells and complex cells within the brains of the monkeys and cats they studied. The simple cells , they observed, ...